Project website, methods and graphics for the investigative project on the Right to be Forgotten
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Updated
Oct 3, 2015 - JavaScript
Project website, methods and graphics for the investigative project on the Right to be Forgotten
Data-driven, participatory fact-mapping
Everyday learning new stuff for 60 days. Topics including theoretical computer science, front and back end development, programming languages, data journalism and many more.
Source code for "Inside Cricket: A fifth umpire' view of your favorite sport"
Arms exports made by Spain between 2014 and 2016
A visual narrative of the changing temperatures and global climate
An open source library of React components designed with news in mind.
🚢 Code & data behind "Our Immigrant Story"
Interactive web display showing correlations between US demographics and various health outcomes (heart attack, depression, and diabetes incidence). When an axis is clicked, the graph changes to include data from the selected variable. Built using D3.js
Interactive data visualization using D3.js to show some state-level data about three risk factors (obesity, smoking and lack of healthcare) plotted against three perhaps underlying factors (income, poverty rate and age) based on 2014 U.S. Census data. Find it here: https://sheetalbongale.github.io/D3-Data-Journalism/
Analyzing the current trends shaping people's lives, as well as creating charts, graphs, and interactive elements to help readers understand findings for a newspaper.
Use D3.js to visualise US Census Data
Analyzing the current trends from data provided by the U.S. Census Bureau and the Behavioral Risk Factor Surveillance System. Produce dynamic and interactive visualizations using the D3. JavaScript Libary
D3 Dabbler Visualization webpage, scatter plot using data from two different variables.
Interactive web app for analyzing the health risks among demographics using D3.js,JavaScript
Using JavaScript and D3 to create a visualization on BioDiversity
Created visualization using HTML, Javascript, and D3 to show correlations between rates of obesity, smoking status and healthcare access with rates of poverty, household income and age, based on Census data in every state.
The scatter plot graph is about the health risk facing poverty. Please check out the link below
Created Visualization using HTML, JavaScript, D3 to show the correlation between healthcare ,obesity, smoking status and poverty based on Census Data in every state
Short talk for the 2021 Data Driven conference on the Bias Behind Bars series
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